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                                            <p>微信搜索bigdata029 | 邀请体验：数阅–数据管理、OLAP分析与可视化平台 | 订阅本站 | 赞助作者：赞助作者 <br>
Java API 读取Hive Orc文件 <br>
 Hadoop   lxw1234@qq.com  2年前 (2015-08-18)  4508℃  0评论 <br>
关键字：Hive Orc、Java API 读取Hive OrcFile</p>

<p>Orc是Hive特有的一种列式存储的文件格式，它有着非常高的压缩比和读取效率，因此很快取代了之前的RCFile，成为Hive中非常常用的一种文件格式。</p>

<p>在实际业务场景中，可能需要使用Java API，或者MapReduce读写Orc文件。</p>

<p>本文先介绍使用Java API读取Hive Orc文件。</p>

<p>在Hive中已有一张Orc格式存储的表lxw1234:</p>

<p>Hive Orc</p>

<p>该表有四个字段：url、word、freq、weight，类型均为string；</p>

<p>数据只有5条：</p>

<p>Hive Orc</p>

<p>下面的代码，从表lxw1234对应的HDFS路径中使用API直接读取Orc文件：</p>

<p>package com.lxw1234.test;</p>

<p>import java.util.List; <br>
import java.util.Properties;</p>

<p>import org.apache.hadoop.fs.Path; <br>
import org.apache.hadoop.hive.ql.io.orc.OrcInputFormat; <br>
import org.apache.hadoop.hive.ql.io.orc.OrcSerde; <br>
import org.apache.hadoop.hive.serde2.objectinspector.StructField; <br>
import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector; <br>
import org.apache.hadoop.mapred.FileInputFormat; <br>
import org.apache.hadoop.mapred.InputFormat; <br>
import org.apache.hadoop.mapred.InputSplit; <br>
import org.apache.hadoop.mapred.JobConf; <br>
import org.apache.hadoop.mapred.RecordReader; <br>
import org.apache.hadoop.mapred.Reporter;</p>

<p>/** <br>
 * lxw的大数据田地 – <a href="http://lxw1234.com" rel="nofollow">http://lxw1234.com</a> <br>
 * @author lxw.com <br>
 * <br>
 */ <br>
public class TestOrcReader {</p>

<pre><code>public static void main(String[] args) throws Exception {       
    JobConf conf = new JobConf();
    Path testFilePath = new Path(args[0]);
    Properties p = new Properties();
    OrcSerde serde = new OrcSerde();
    p.setProperty("columns", "url,word,freq,weight");
    p.setProperty("columns.types", "string:string:string:string");
    serde.initialize(conf, p);
    StructObjectInspector inspector = (StructObjectInspector) serde.getObjectInspector();
    InputFormat in = new OrcInputFormat();
    FileInputFormat.setInputPaths(conf, testFilePath.toString());
    InputSplit[] splits = in.getSplits(conf, 1);
    System.out.println("splits.length==" + splits.length);

    conf.set("hive.io.file.readcolumn.ids", "1");
    RecordReader reader = in.getRecordReader(splits[0], conf, Reporter.NULL);
    Object key = reader.createKey();
    Object value = reader.createValue();
    List&lt;? extends StructField&gt; fields = inspector.getAllStructFieldRefs();     
    long offset = reader.getPos();
    while(reader.next(key, value)) {
        Object url = inspector.getStructFieldData(value, fields.get(0));
        Object word = inspector.getStructFieldData(value, fields.get(1));
        Object freq = inspector.getStructFieldData(value, fields.get(2));
        Object weight = inspector.getStructFieldData(value, fields.get(3));
        offset = reader.getPos();
        System.out.println(url + "|" + word + "|" + freq + "|" + weight);
    }
    reader.close();

}
</code></pre>

<p>}</p>

<p>将上面的代码打包成orc.jar；</p>

<p>在Hadoop客户端机器上运行命令：</p>

<p>export HADOOP_CLASSPATH=/usr/local/apache-hive-0.13.1-bin/lib/hive-exec-0.13.1.jar:$HADOOP_CLASSPATH</p>

<p>hadoop jar orc.jar com.lxw1234.test.TestOrcReader /hivedata/warehouse/liuxiaowen.db/lxw1234/</p>

<p>运行结果如下：</p>

<p>[liuxiaowen@dev tmp]$ hadoop jar orc.jar com.lxw1234.test.TestOrcReader /hivedata/warehouse/liuxiaowen.db/lxw1234/ <br>
15/08/18 17:03:37 INFO log.PerfLogger:  <br>
15/08/18 17:03:38 INFO Configuration.deprecation: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir <br>
15/08/18 17:03:38 INFO orc.OrcInputFormat: FooterCacheHitRatio: 0/1 <br>
15/08/18 17:03:38 INFO log.PerfLogger:  <br>
splits.length==1 <br>
15/08/18 17:03:38 INFO orc.ReaderImpl: Reading ORC rows from hdfs://cdh5/hivedata/warehouse/liuxiaowen.db/lxw1234/000000_0 with {include: null, offset: 0, length: 712}</p>

<p><a href="http://cook.mytv365.com/v/20130403/1920802.html| rel="nofollow"">http://cook.mytv365.com/v/20130403/1920802.html|</a>未找到|1|5</p>

<p><a href="http://cook.mytv365.com/v/20130403/1920802.html| rel="nofollow"">http://cook.mytv365.com/v/20130403/1920802.html|</a>网站|1|3</p>

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<p>结果没有问题。</p>

<p>注意：该程序只做可行性测试，如果Orc数据量太大，则需要改进，或者使用MapReduce；</p>

<p>后续将介绍Java API写Orc文件，以及使用MapReduce读写Hive Orc文件。</p>

<p>请关注我的博客。或者 加入邮件列表 ，随时接收博客更新的通知邮件。</p>                                    </div>
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